R Markdown

This is for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Ejemplo: Chunk

#echo: permite verificar si se muestra o no el código
#eval: cuando es verdadero permite que se ejecuten las lineas de codigo.
2+2
x<-1:100

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.

Hola Todos

Mi edad es 2

Graficos ‘plotly’

Ejemplo 1: Gráfico de puntos

library(plotly) # Cargamos la libreria


# Ejemplo 1: Gráfico de Puntos -------------------------------

d <- diamonds[sample(nrow(diamonds), 1000), ]

p <- plot_ly(
  d, x = ~carat, y = ~price,
  color = ~carat, size = ~carat
)

p

Ejemplo 2: Gráfico de Lineas

x <- c(1:100)
random_y <- rnorm(100, mean = 0)
data <- data.frame(x, random_y)

p <- plot_ly(data, x = ~x, y = ~random_y, type = 'scatter', mode = 'lines')

p

Ejemplo 3: Gráfico de Área

Gráfico de Barras

library(dplyr)

p <- ggplot2::diamonds %>% count(cut, clarity) %>%
  plot_ly(x = ~cut, y = ~n, color = ~clarity)

p

Gráfico de Pastel

Gráfico de Caja

p <- plot_ly(y = ~rnorm(50), type = "box") %>%
  add_trace(y = ~rnorm(50, 1))
p

Gráfico de Ejes paralelos

Gráficos 3D (Superficies)

#Gráficos 3D (Superficies)  ------------------------------------

p <- plot_ly(z = ~volcano) %>% add_surface()
p

Animaciones

library(gapminder)

p <- gapminder %>%
  plot_ly(
    x = ~gdpPercap, 
    y = ~lifeExp, 
    size = ~pop, 
    color = ~continent, 
    frame = ~year, 
    text = ~country, 
    hoverinfo = "text",
    type = 'scatter',
    mode = 'markers'
  ) %>%
  layout(
    xaxis = list(
      type = "log"
    )
  )
p